인터랙션 디자인과 사용자 정보 처리: 인터랙션 디자인 속 정보량 엔트로피와 인간 정보 처리 모형 에 관한 연구

This study examines how Donald Norman's design principles are used in interaction design and how human processor models can be modified and applied in order to identify the relationship between the amount of information and user experience in interaction design. In the process, the human processor model by Stuart Card and the design principles by Donald Norman are important tools for explaining the relationship between information entropy, user capacity, and user experience. Card's human processor model divides the process of human cognition and response and calculates the time required for each process. In the model, the information processing time is shorter as the predictability is larger and the information entropy is smaller. On the other hand, Norman's design principles consist of visibility, feedback, constraint, mapping, consistency, and affordance. The more well-preserved these principles are, the greater the predictability and the smaller the amount of information entropy. Here we can combine Norman's design principles with Card's human processor model and present the result as a basis for a better interface. Interaction design, which reflects Norman's design principles, decreases the information entropy of the interactive space, increases the predictability of the interactive technique, and sequentially reduces the number of user's cognitive information processing and the time of information processing. On the other hand, in the interaction design that does not reflect Norman's design principles, the amount of information in the interactive space increases, the interactive technique becomes complicated, and the time of user's information processing becomes longer. We can apply it reversely and judge whether a particular interaction design reflects Norman's design principles.